Practical Causal Inference Lab Co-Director
**Views are mine**
#Epidemiology #EpiSky #CausalInference #CausalSky #PublicHealth #StatsSky #Stats #Medsky
A Sensitivity Analysis Framework for Causal Inference Under Interference
https://arxiv.org/abs/2511.21534
A Sensitivity Analysis Framework for Causal Inference Under Interference
https://arxiv.org/abs/2511.21534
Two-stage Estimation for Causal Inference Involving a Semi-continuous Exposure (Wang, Cook, Zhu et al) Methods for causal inference are well developed for binary and continuous exposures, but in many settings, the exposure has a substantial mass at zero-such exposures are called semi-cont
Two-stage Estimation for Causal Inference Involving a Semi-continuous Exposure (Wang, Cook, Zhu et al) Methods for causal inference are well developed for binary and continuous exposures, but in many settings, the exposure has a substantial mass at zero-such exposures are called semi-cont
Postdoc in Integrating Plant Microbiome Omics Data for Causal Inference
Postdoc in Integrating Plant Microbiome Omics Data for Causal Inference
For those in London on 15 Dec 2025, don't miss this fun in person debate between me and David Bann sponsored by @ncrm.ac.uk!
Will the arguments change anyone's mind? 🤔
Sign up to attend IN PERSON: www.eventbrite.co.uk/e/is-ai-the-...
For those in London on 15 Dec 2025, don't miss this fun in person debate between me and David Bann sponsored by @ncrm.ac.uk!
Will the arguments change anyone's mind? 🤔
Sign up to attend IN PERSON: www.eventbrite.co.uk/e/is-ai-the-...
www.nejm.org/doi/full/10....
www.nejm.org/doi/full/10....
#UniversityofCalifornia #Science #Progress
@uofcalifornia.bsky.social
Here’s what to know.
bit.ly/4pbHxjT
bit.ly/4pbHxjT
www.tandfonline.com/doi/full/10....
Challenges in Statistics: A Dozen Challenges in Causality and Causal Inference (Cinelli, Feller, Imbens et al) Causality and causal inference have emerged as core research areas at the interface of modern statistics and domains including biomedical sciences, social sciences, computer scie
Challenges in Statistics: A Dozen Challenges in Causality and Causal Inference (Cinelli, Feller, Imbens et al) Causality and causal inference have emerged as core research areas at the interface of modern statistics and domains including biomedical sciences, social sciences, computer scie